iPad15,3
Geekbench AI Score
4009
Single Precision Score
7098
Half Precision Score
5755
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | decryp7 |
| Upload Date | November 07 2025 08:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1490
277.0 IPS |
|
|
Image Classification (HP)
|
100% |
2927
544.3 IPS |
|
|
Image Classification (Q)
|
96% |
2033
379.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2869
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3224
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8370
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
17547
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15112
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
97% |
3240
258.0 IPS |
|
|
Object Detection (Q)
|
94% |
2351
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
3425
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
6915
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
4007
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6964
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12715
98.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9065
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22051
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33890
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28162
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5002
184.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6145
226.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4471
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5517
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5498
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3251
56.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6733
116.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6812
117.7 IPS |
